SOTAVerified

Bilevel Optimization

Bilevel Optimization is a branch of optimization, which contains a nested optimization problem within the constraints of the outer optimization problem. The outer optimization task is usually referred as the upper level task, and the nested inner optimization task is referred as the lower level task. The lower level problem appears as a constraint, such that only an optimal solution to the lower level optimization problem is a possible feasible candidate to the upper level optimization problem.

Source: Efficient Evolutionary Algorithm for Single-Objective Bilevel Optimization

Papers

Showing 161170 of 423 papers

TitleStatusHype
Conformal Predictive Programming for Chance Constrained Optimization0
A Stackelberg game for incentive-based demand response in energy markets0
A Globally Convergent Gradient-based Bilevel Hyperparameter Optimization Method0
AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural Networks0
Achieving O(ε^-1.5) Complexity in Hessian/Jacobian-free Stochastic Bilevel Optimization0
Concurrent Learning of Policy and Unknown Safety Constraints in Reinforcement Learning0
Communication-Efficient Robust Federated Learning with Noisy Labels0
A Single-Timescale Method for Stochastic Bilevel Optimization0
Communication-Efficient Federated Bilevel Optimization with Local and Global Lower Level Problems0
Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GIN-GAOptimality Gap0.21Unverified
#ModelMetricClaimedVerifiedStatus
1GIN-GAOptimality Gap0.48Unverified
#ModelMetricClaimedVerifiedStatus
1GIN-GAOptimality Gap1.44Unverified